TensorFlow Tutorials with YouTube Videos
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Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.
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An independent, student-led replication of DeepMind's 2016 Nature publication, "Mastering the game of Go with deep neural networks and tree search" (Nature 529, 484-489, 28 Jan 2016), details of which can be found on their website https://deepmind.com/publications.html.
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🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐
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machine-learning-for-tradingby stefan-jansen
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Code for Machine Learning for Algorithmic Trading, 2nd edition.
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A cross platform front-end GUI of the popular youtube-dl written in wxPython.
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http://torch.ch
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:camera: JavaScript is all like "You images done yet or what?"
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data science on data without acquiring a copy
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itsy-bitsy-data-structuresby jamiebuilds
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:european_castle: All the things you didn't know you wanted to know about data structures
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The Go+ programming language is designed for engineering, STEM education, and data science.
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Pre-Training with Whole Word Masking for Chinese BERT(中文BERT-wwm系列模型)
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Kedro is a toolbox for production-ready data science. It uses software engineering best practices to help you create data engineering and data science pipelines that are reproducible, maintainable, and modular.
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RWKV is an RNN with transformer-level LLM performance. It can be directly trained like a GPT (parallelizable). So it's combining the best of RNN and transformer - great performance, fast inference, saves VRAM, fast training, "infinite" ctx_len, and free sentence embedding.
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Caffe2 is a lightweight, modular, and scalable deep learning framework.
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Chat with your documents on your local device using GPT models. No data leaves your device and 100% private.
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Neural Networks: Zero to Hero
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Python Script to download hundreds of images from 'Google Images'. It is a ready-to-run code!
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TensorFlow-Tutorialsby Hvass-Labs
TensorFlow Tutorials with YouTube Videos
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haystackby deepset-ai
:mag: Haystack is an open source NLP framework to interact with your data using Transformer models and LLMs (GPT-4, ChatGPT and alike). Haystack offers production-ready tools to quickly build complex question answering, semantic search, text generation applications, and more.
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maskrcnn-benchmarkby facebookresearch
Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.
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OCRmyPDFby ocrmypdf
OCRmyPDF adds an OCR text layer to scanned PDF files, allowing them to be searched
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tpotby EpistasisLab
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
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RocAlphaGoby Rochester-NRT
An independent, student-led replication of DeepMind's 2016 Nature publication, "Mastering the game of Go with deep neural networks and tree search" (Nature 529, 484-489, 28 Jan 2016), details of which can be found on their website https://deepmind.com/publications.html.
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CoreNLPby stanfordnlp
Stanford CoreNLP: A Java suite of core NLP tools.
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ultralyticsby ultralytics
NEW - YOLOv8 🚀 in PyTorch > ONNX > CoreML > TFLite
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bleveby blevesearch
A modern text indexing library for go
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english-wordsby dwyl
:memo: A text file containing 479k English words for all your dictionary/word-based projects e.g: auto-completion / autosuggestion
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CLRSby gzc
:notebook:Solutions to Introduction to Algorithms
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computervision-recipesby microsoft
Best Practices, code samples, and documentation for Computer Vision.
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ludwigby ludwig-ai
Data-centric declarative deep learning framework
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pifuhdby facebookresearch
High-Resolution 3D Human Digitization from A Single Image.
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Keras-GANby eriklindernoren
Keras implementations of Generative Adversarial Networks.
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warriorjsby olistic
🏰 An exciting game of programming and Artificial Intelligence
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External-Attention-pytorchby xmu-xiaoma666
🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐
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machine-learning-for-tradingby stefan-jansen
Code for Machine Learning for Algorithmic Trading, 2nd edition.
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youtube-dl-guiby MrS0m30n3
A cross platform front-end GUI of the popular youtube-dl written in wxPython.
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mlcourse.aiby Yorko
Open Machine Learning Course
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imagesloadedby desandro
:camera: JavaScript is all like "You images done yet or what?"
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PySyftby OpenMined
data science on data without acquiring a copy
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autokerasby keras-team
AutoML library for deep learning
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pretrained-models.pytorchby Cadene
Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.
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AudioGPTby AIGC-Audio
AudioGPT: Understanding and Generating Speech, Music, Sound, and Talking Head
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lazyloadby tuupola
Vanilla JavaScript plugin for lazyloading images
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Stockfishby official-stockfish
UCI chess engine
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nlp_courseby yandexdataschool
YSDA course in Natural Language Processing
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CodeFormerby sczhou
[NeurIPS 2022] Towards Robust Blind Face Restoration with Codebook Lookup Transformer
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TextBlobby sloria
Simple, Pythonic, text processing--Sentiment analysis, part-of-speech tagging, noun phrase extraction, translation, and more.
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OpenChatKitby togethercomputer
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spinningupby openai
An educational resource to help anyone learn deep reinforcement learning.
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itsy-bitsy-data-structuresby jamiebuilds
:european_castle: All the things you didn't know you wanted to know about data structures
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gopby goplus
The Go+ programming language is designed for engineering, STEM education, and data science.
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tfjs-coreby tensorflow
WebGL-accelerated ML // linear algebra // automatic differentiation for JavaScript.
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amazon-sagemaker-examplesby aws
Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
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patternby clips
Web mining module for Python, with tools for scraping, natural language processing, machine learning, network analysis and visualization.
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machinelearningby dotnet
ML.NET is an open source and cross-platform machine learning framework for .NET.
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Chinese-BERT-wwmby ymcui
Pre-Training with Whole Word Masking for Chinese BERT(中文BERT-wwm系列模型)
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kedroby kedro-org
Kedro is a toolbox for production-ready data science. It uses software engineering best practices to help you create data engineering and data science pipelines that are reproducible, maintainable, and modular.
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RWKV-LMby BlinkDL
RWKV is an RNN with transformer-level LLM performance. It can be directly trained like a GPT (parallelizable). So it's combining the best of RNN and transformer - great performance, fast inference, saves VRAM, fast training, "infinite" ctx_len, and free sentence embedding.
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caffe2by facebookarchive
Caffe2 is a lightweight, modular, and scalable deep learning framework.
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localGPTby PromtEngineer
Chat with your documents on your local device using GPT models. No data leaves your device and 100% private.
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frigateby blakeblackshear
NVR with realtime local object detection for IP cameras
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nn-zero-to-heroby karpathy
Neural Networks: Zero to Hero
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korniaby kornia
Differentiable Computer Vision Library
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NoiseTorchby noisetorch
Real-time microphone noise suppression on Linux.
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google-images-downloadby hardikvasa
Python Script to download hundreds of images from 'Google Images'. It is a ready-to-run code!
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