Stars
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
Robust Speech Recognition via Large-Scale Weak Supervision
🏡 Open source home automation that puts local control and privacy first.
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga…
A natural language interface for computers
YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
Awesome multilingual OCR and Document Parsing toolkits based on PaddlePaddle (practical ultra lightweight OCR system, support 80+ languages recognition, provide data annotation and synthesis tools,…
Run your own AI cluster at home with everyday devices 📱💻 🖥️⌚
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials,…
Deezer source separation library including pretrained models.
Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.
Universal LLM Deployment Engine with ML Compilation
Convert Machine Learning Code Between Frameworks
Annotate better with CVAT, the industry-leading data engine for machine learning. Used and trusted by teams at any scale, for data of any scale.
20+ high-performance LLMs with recipes to pretrain, finetune and deploy at scale.
Implementation of DALL-E 2, OpenAI's updated text-to-image synthesis neural network, in Pytorch
An open access book on scientific visualization using python and matplotlib
Running large language models on a single GPU for throughput-oriented scenarios.
Text-to-3D & Image-to-3D & Mesh Exportation with NeRF + Diffusion.
A collection of libraries to optimise AI model performances
Implementation of Imagen, Google's Text-to-Image Neural Network, in Pytorch
Official PyTorch implementation of StyleGAN3
An arbitrary face-swapping framework on images and videos with one single trained model!
A repo for distributed training of language models with Reinforcement Learning via Human Feedback (RLHF)
This is a python API which allows you to get the transcript/subtitles for a given YouTube video. It also works for automatically generated subtitles and it does not require an API key nor a headles…
Official implementation for "Multimodal Chain-of-Thought Reasoning in Language Models" (stay tuned and more will be updated)
FILM: Frame Interpolation for Large Motion, In ECCV 2022.
PyTorch implementation of TabNet paper : https://arxiv.org/pdf/1908.07442.pdf
Scrape Facebook public pages without an API key