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List of Computer Science courses with video lectures.
Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more
The official GitHub page for the survey paper "A Survey of Large Language Models".
Structured state space sequence models
Reading list for research topics in state-space models
Simple Graph Memory for AI applications
π OpenHands: Code Less, Make More
The official Python library for the OpenAI API
Build AI Assistants with memory, knowledge and tools.
A plugin to edit and view Excalidraw drawings in Obsidian
Open-Sora: Democratizing Efficient Video Production for All
TorchGeo: datasets, samplers, transforms, and pre-trained models for geospatial data
Generative Models by Stability AI
π An up-to-date & curated list of awesome semi-supervised learning papers, methods & resources.
Boilerplate for Deep Learning Projects
20+ high-performance LLMs with recipes to pretrain, finetune and deploy at scale.
π€ Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch and FLAX.
High-Performance Symbolic Regression in Python and Julia
Pieces of code that have appeared on my blog with a focus on stochastic simulations.
The simplest way to run LLaMA on your local machine
A large-scale 7B pretraining language model developed by BaiChuan-Inc.
AI education materials for Chinese students, teachers and IT professionals.
Implementation of RLHF (Reinforcement Learning with Human Feedback) on top of the PaLM architecture. Basically ChatGPT but with PaLM
Platform to experiment with the AI Software Engineer. Terminal based. NOTE: Very different from https://gptengineer.app