arjunchandra
Dad. Expanding collective potential at Brua IO. Lead large model training stability at Graphcore. Examining the AI quest.
Brua IOOslo, Norway
arjunchandra's Stars
langchain-ai/langchain
🦜🔗 Build context-aware reasoning applications
vllm-project/vllm
A high-throughput and memory-efficient inference and serving engine for LLMs
ray-project/ray
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
facebookresearch/faiss
A library for efficient similarity search and clustering of dense vectors.
mckaywrigley/chatbot-ui
AI chat for any model.
kenjihiranabe/The-Art-of-Linear-Algebra
Graphic notes on Gilbert Strang's "Linear Algebra for Everyone"
Unity-Technologies/ml-agents
The Unity Machine Learning Agents Toolkit (ML-Agents) is an open-source project that enables games and simulations to serve as environments for training intelligent agents using deep reinforcement learning and imitation learning.
vdumoulin/conv_arithmetic
A technical report on convolution arithmetic in the context of deep learning
apple/turicreate
Turi Create simplifies the development of custom machine learning models.
databrickslabs/dolly
Databricks’ Dolly, a large language model trained on the Databricks Machine Learning Platform
google/dopamine
Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.
mosaicml/llm-foundry
LLM training code for Databricks foundation models
matthiasn/talk-transcripts
Transcripts of Clojure-related talks
graphdeeplearning/benchmarking-gnns
Repository for benchmarking graph neural networks (JMLR 2023)
mpitutorial/mpitutorial
MPI programming lessons in C and executable code examples
eyurtsev/kor
LLM(😽)
tensorflow/mesh
Mesh TensorFlow: Model Parallelism Made Easier
google/brain-tokyo-workshop
🧠🗼
weihua916/powerful-gnns
How Powerful are Graph Neural Networks?
google-deepmind/scalable_agent
A TensorFlow implementation of Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures.
chaitjo/efficient-gnns
Code and resources on scalable and efficient Graph Neural Networks (TNNLS 2023)
mila-iqia/myia
Myia prototyping
befelix/safe_learning
Safe reinforcement learning with stability guarantees
src-d/reading-club
Paper reading club at source{d}
PPPLDeepLearning/plasma-python
PPPL deep learning disruption prediction package
montrealrobotics/domain-randomizer
A standalone library to randomize various OpenAI Gym Environments
crypt3lx2k/Zerofish
An implementation of the AlphaZero algorithm for chess
rddy/isql
Inferring beliefs about dynamics from behavior
facebookresearch/reward-estimator-corl
Reward Estimation for Variance Reduction in Deep Reinforcement Learning
david-abel/solar_panels_rl
Repository for code experimenting with RL and Solar Tracking