Pinned Repositories
170project
2d-procedural-endless-world
2d procedural endless world
CALM-Dialogue
Official code for the paper "Context-Aware Language Modeling for Goal-Oriented Dialogue Systems"
grokking
unofficial re-implementation of "Grokking: Generalization Beyond Overfitting on Small Algorithmic Datasets"
Implicit-Language-Q-Learning
Official code from the paper "Offline RL for Natural Language Generation with Implicit Language Q Learning"
JAX_llama
Inference code for LLaMA models in JAX
jax_v_pytorch
comparing Jax (haiku and flax) to PyTorch on simple DL tasks.
JAXSeq
Train very large language models in Jax.
micro_config
an opinionated config framework for deep learning based on hierarchical python dataclasses
MLLibCpp
A machine learning library capable of training various deep neural networks (RNNs, LSTMs, DBNs, ect...) on a GPU. It makes use of auto-differentiation algorithms. Written in C++ with OpenCl.
Sea-Snell's Repositories
Sea-Snell/Implicit-Language-Q-Learning
Official code from the paper "Offline RL for Natural Language Generation with Implicit Language Q Learning"
Sea-Snell/JAXSeq
Train very large language models in Jax.
Sea-Snell/JAX_llama
Inference code for LLaMA models in JAX
Sea-Snell/grokking
unofficial re-implementation of "Grokking: Generalization Beyond Overfitting on Small Algorithmic Datasets"
Sea-Snell/CALM-Dialogue
Official code for the paper "Context-Aware Language Modeling for Goal-Oriented Dialogue Systems"
Sea-Snell/micro_config
an opinionated config framework for deep learning based on hierarchical python dataclasses
Sea-Snell/170project
Sea-Snell/jax_v_pytorch
comparing Jax (haiku and flax) to PyTorch on simple DL tasks.
Sea-Snell/AttentionDynamics
Sea-Snell/visdial-rl
PyTorch code for Learning Cooperative Visual Dialog Agents using Deep Reinforcement Learning
Sea-Snell/LMTemplate
Sea-Snell/tpu_pod_launcher
Sea-Snell/advent_of_code_2023
Sea-Snell/AirConcierge
AirConcierge-Pytorch-Implementation
Sea-Snell/AttentionBlogSite
Sea-Snell/bigcode-evaluation-harness
A framework for the evaluation of autoregressive code generation language models.
Sea-Snell/EasyLM
Easy to use model parallel large language models in JAX/Flax with pjit support on cloud TPU pods.
Sea-Snell/end-to-end-negotiator
Deal or No Deal? End-to-End Learning for Negotiation Dialogues
Sea-Snell/human-eval
Code for the paper "Evaluating Large Language Models Trained on Code"
Sea-Snell/jax_diffusion
Sea-Snell/lm-evaluation-harness
A framework for few-shot evaluation of autoregressive language models.
Sea-Snell/min_JAX_NERF
re-implementation of NERF in Jax
Sea-Snell/minima
Minima is a one-size-fits-all Jekyll theme for writers.
Sea-Snell/mmlu_jaxseq
MMLU evaluation for language models served with EasyLM
Sea-Snell/perspective
An API wrapper for Google's Perspective API
Sea-Snell/persuasionforgood
Sea-Snell/scalax
A simple library for scaling up JAX programs
Sea-Snell/Sea-Snell.github.io
Personal Site!
Sea-Snell/SWE-bench
[ICLR 2024] SWE-Bench: Can Language Models Resolve Real-world Github Issues?
Sea-Snell/transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.