agent-007

ai4chem_course

EPFL CH-457 "AI for chemistry"

annotated_deep_learning_paper_implementations

🧑‍🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

autoencoderandvae

awesome-llm4ie-papers

Awesome papers about generative Information Extraction (IE) using Large Language Models (LLMs)

awesome-sign-language

Paper list of sign language, including sign language recognition(SLR), sign language translation(SLT) and other interesting work. Quick start your awesome work with us!! 🤟🤟🤟

awesome-slp

A curated list of awesome work on Sign Language Production

benchmd

cm4mlops

A collection of reusable and cross-platform automation recipes (CM scripts) with a human-friendly interface and minimal dependencies to make it easier to build, run, benchmark and optimize AI, ML and other applications and systems across diverse and continuously changing models, data sets, software and hardware (cloud/edge)

computational-adme

crewai

Framework for orchestrating role-playing, autonomous AI agents. By fostering collaborative intelligence, CrewAI empowers agents to work together seamlessly, tackling complex tasks.

d1hr2uv

README.md

d1hr2uv.github.io

dhruba-smcs003

dice

Re-implementation of Redis in Golang

diffusers

🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch and FLAX.

dust3r

DUSt3R: Geometric 3D Vision Made Easy

fairseq

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

fusilli

A Python package housing a collection of deep-learning multi-modal data fusion method pipelines! From data loading, to training, to evaluation - fusilli's got you covered 🌸

graph-based-deep-learning-literature

links to conference publications in graph-based deep learning

group-selfies

hands-on-llms

🦖 𝗟𝗲𝗮𝗿𝗻 about 𝗟𝗟𝗠𝘀, 𝗟𝗟𝗠𝗢𝗽𝘀, and 𝘃𝗲𝗰𝘁𝗼𝗿 𝗗𝗕𝘀 for free by designing, training, and deploying a real-time financial advisor LLM system ~ 𝘴𝘰𝘶𝘳𝘤𝘦 𝘤𝘰𝘥𝘦 + 𝘷𝘪𝘥𝘦𝘰 & 𝘳𝘦𝘢𝘥𝘪𝘯𝘨 𝘮𝘢𝘵𝘦𝘳𝘪𝘢𝘭𝘴

harkirat-singh-course_code_and_notes

jekyl

kano

Code and data for the Nature Machine Intelligence paper "Knowledge graph-enhanced molecular contrastive learning with functional prompt".

karatsuba

low-level-design

Low Level Designs of common data structures. These designs keep concurrency control, latency and throughput in mind. We use design patterns where applicable to make the code readable, extensible and testable.

mlops

mlops-2024

neuralturingmachine

PyTorch implementation of the neural Turing machine architecture