Shin

Expert
@yixiaoer

tpux. A set of Python scripts that makes your experience on TPU better

56

mistral-v0.2-jax. JAX implementation of the Mistral 7b v0.2 model

35

einshard. Einsum-like high-level array sharding API for JAX

35

tpu-training-example. Python

16

mistral-jax. JAX implementation of the Mistral 7b v0.1 model

13

schedule-main. Terminal-based event tracking tool.

6

MahjongGenerator. A customizable Mahjong game

5

telegram-bots. A collection of my telegram bots

5

bark-jax. JAX implementation of Bark

4

learn-jax-with-code. A collection of code to help understand features in JAX

3

encodec-jax. JAX implementation of EnCodec

3

optax. Optax is a gradient processing and optimization library for JAX.

2

go. The Go programming language

2

ColossalAI. Making large AI models cheaper, faster and more accessible

2

triton. Development repository for the Triton language and compiler

2

Shin-website. Personal Website: https://yixiaoer.sg/

2

transformers. 🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

2

flax. Flax is a neural network library for JAX that is designed for flexibility.

2

girlspowertech.github.io. Home Page

2

jax. Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

2

gemma. Open weights LLM from Google DeepMind.

1

rust. Empowering everyone to build reliable and efficient software.

1

linux. Linux kernel source tree

1

flash-attention. Fast and memory-efficient exact attention

1

orbax. Orbax provides common utility libraries for JAX users.

1

cloud-accelerator-diagnostics. Python

1

Bingyan-practice. Go

1

llama2.c. Inference Llama 2 in one file of pure C

1

dstack. dstack is an easy-to-use and flexible container orchestrator for running AI workloads in any cloud or data center.

1

dive. A tool for exploring each layer in a docker image

1
30
Apply