Hi there.
dtunai Goto Github PK
Name: dogukan uraz tuna
Type: User
Bio: AI person.
Blog: https://dogukantuna.me
Name: dogukan uraz tuna
Type: User
Bio: AI person.
Blog: https://dogukantuna.me
Hi there.
Transform JSONL Q&A datasets to instruct format with ease
Custom gradient ascent solver (optimizer) for JAX/Flax models
Jax implementation of "Griffin: Mixing Gated Linear Recurrences with Local Attention for Efficient Language Models"
A massively parallel, optimal functional runtime in Rust
jax-triton contains integrations between JAX and OpenAI Triton
PyKeops Powered K-Means Clustering Algorithms Module both on CPU & GPU
Standardized Serverless ML Inference Platform on Kubernetes
A tiny CLI wrapper around lmppl for Pre-Trained Language Models Perplexity Calculation for CSV files
Jax/Flax/Linen implementation of "Simple Hardware-Efficient Long Convolutions for Sequence Modeling"
Modificated DeepSpeed training setup fork of MEGABYTE - PyTorch by lucidrains, Predicting Million-byte Sequences with Multiscale Transformers, in Pytorch
Dataset of formal Olympiad-level mathematics problems solved with Python code instructions.
Jax module for the paper: "Mixture-of-Depths: Dynamically allocating compute in transformer-based language models"
MPI Operator DeepSpeed Base Configuration for CIFAR-10
Modificated DeepSpeed training setup fork of RLHF (Reinforcement Learning with Human Feedback) by lucidrains on top of the PaLM architecture. Basically ChatGPT but with PaLM
Python Package Template is all you need
Packaged Ring Attention with Blockwise Transformers for Near-Infinite Context implemented in Jax + Flax.
A simpler Pytorch + Zeta Implementation of the paper: "SiMBA: Simplified Mamba-based Architecture for Vision and Multivariate Time series"
Smooth ReLU activations in CUDA. Shamir, G., I. et al.
SynthToT: Generate synthetic dataset for your training dataset through deliberate problem-solving et al S Yao, 2023.
Efficient kernel for RMS normalization with fused operations, includes both forward and backward passes, compatibility with PyTorch.
Collection of neural network activation function kernels for Triton Language Compiler by OpenAI
Jax implementation of x-LSTM: Extended Long Short-Term Memory by Beck et al. (2024)
Resources about xLSTM by Sepp Hochreiter
Build high-performance AI models with modular building blocks
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.