Lists (7)
Starred repositories
Robust Speech Recognition via Large-Scale Weak Supervision
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
A natural language interface for computers
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
Google Research
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
Latex code for making neural networks diagrams
Fast and memory-efficient exact attention
This repository contains implementations and illustrative code to accompany DeepMind publications
Convert Machine Learning Code Between Frameworks
This repository contains the codes of "A Lip Sync Expert Is All You Need for Speech to Lip Generation In the Wild", published at ACM Multimedia 2020. For HD commercial model, please try out Sync Labs
Machine Learning Interviews from FAANG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc. Blog: mlengineer.io.
LAVIS - A One-stop Library for Language-Vision Intelligence
A self-hosted, offline, ChatGPT-like chatbot. Powered by Llama 2. 100% private, with no data leaving your device. New: Code Llama support!
Source code for Twitter's Recommendation Algorithm
Implementation of Denoising Diffusion Probabilistic Model in Pytorch
Minimal, clean code for the Byte Pair Encoding (BPE) algorithm commonly used in LLM tokenization.
A Python Library for Outlier and Anomaly Detection, Integrating Classical and Deep Learning Techniques
[ECCV 2024] Official implementation of the paper "Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection"
[CVPR 2024] Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data. Foundation Model for Monocular Depth Estimation
DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphic…
OpenLLaMA, a permissively licensed open source reproduction of Meta AI’s LLaMA 7B trained on the RedPajama dataset
PyTorch code for Vision Transformers training with the Self-Supervised learning method DINO
Leveraging BERT and c-TF-IDF to create easily interpretable topics.
Python code for "Probabilistic Machine learning" book by Kevin Murphy