Stars
🦜🔗 Build context-aware reasoning applications
CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
A game theoretic approach to explain the output of any machine learning model.
A guidance language for controlling large language models.
Instruct-tune LLaMA on consumer hardware
A collection of various deep learning architectures, models, and tips
State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.
Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.
This repository contains demos I made with the Transformers library by HuggingFace.
Automatic extraction of relevant features from time series:
The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery 🧑🔬
Silero Models: pre-trained speech-to-text, text-to-speech and text-enhancement models made embarrassingly simple
Repo for the Deep Reinforcement Learning Nanodegree program
A collection of infrastructure and tools for research in neural network interpretability.
Probabilistic reasoning and statistical analysis in TensorFlow
Python notebooks with ML and deep learning examples with Azure Machine Learning Python SDK | Microsoft
Fast and flexible AutoML with learning guarantees.
A denoising autoencoder + adversarial losses and attention mechanisms for face swapping.
Fault-tolerant, highly scalable GPU orchestration, and a machine learning framework designed for training models with billions to trillions of parameters
An educational AI robot based on NVIDIA Jetson Nano.
Self hosted alternative to Google Photos
A Unified Library for Parameter-Efficient and Modular Transfer Learning
Medusa: Simple Framework for Accelerating LLM Generation with Multiple Decoding Heads