Alternatives and similar repositories for mini_DiT

Users that are interested in mini_DiT are comparing it to the libraries listed below

• naklecha / llm-inference-optimizations-explained
  in this repository, i'm going to implement increasingly complex llm inference optimizations
  ☆68Updated 5 months ago
• joey00072 / Tinytorch
  A really tiny autograd engine
  ☆96Updated 5 months ago
• nreHieW / r-nn
  Tensor library with autograd using only Rust's standard library
  ☆70Updated last year
• geohot / tinydreamer
  An implementation of delta-iris in tinygrad
  ☆72Updated last year
• smolorg / smolgrad
  small auto-grad engine inspired from Karpathy's micrograd and PyTorch
  ☆276Updated 11 months ago
• kanpuriyanawab / picograd
  Rust Implementation of micrograd
  ☆53Updated last year
• cloneofsimo / ptx-tutorial-by-aislop
  PTX-Tutorial Written Purely By AIs (Deep Research of Openai and Claude 3.7)
  ☆66Updated 7 months ago
• JoeLi12345 / nGPT
  an open source reproduction of NVIDIA's nGPT (Normalized Transformer with Representation Learning on the Hypersphere)
  ☆107Updated 7 months ago
• PrimeIntellect-ai / pi-quant
  SIMD quantization kernels
  ☆89Updated last month
• Laz4rz / GPT-2
  Following master Karpathy with GPT-2 implementation and training, writing lots of comments cause I have memory of a goldfish
  ☆172Updated last year
• omkaark / simple-federated-learning
  ☆96Updated last year
• apoorvnandan / lilgrad
  pytorch from scratch in pure C/CUDA and python
  ☆41Updated last year
• smolorg / smoltropix
  MLX port for xjdr's entropix sampler (mimics jax implementation)
  ☆62Updated 11 months ago
• xjdr-alt / simple_transformer
  Simple Transformer in Jax
  ☆139Updated last year
• N8python / mlx-pretrain
  A simple MLX implementation for pretraining LLMs on Apple Silicon.
  ☆84Updated 2 months ago
• ishan0102 / rsrch.space
  Stream of my favorite papers and links
  ☆43Updated 7 months ago
• unixpickle / learn-ptx
  Learning about CUDA by writing PTX code.
  ☆145Updated last year
• loganwatchorn / notes-pmpp
  Notes on "Programming Massively Parallel Processors" by Hwu, Kirk, and Hajj (4th ed.)
  ☆53Updated last year
• KhawajaAbaid / micrograd_c
  Andrej Kapathy's micrograd implemented in c
  ☆30Updated last year
• s-smits / grpo-optuna
  Optimizing Causal LMs through GRPO with weighted reward functions and automated hyperparameter tuning using Optuna
  ☆58Updated last week
• charlesfrye / cuda-substrings
  Because it's there.
  ☆16Updated last year
• danielgross / ggml-k8s
  Run GGML models with Kubernetes.
  ☆174Updated last year
• MagellaX / StreamAttn
  A high-performance attention mechanism that computes softmax normalization in a single streaming pass using running accumulators (online …
  ☆27Updated 2 weeks ago
• smolorg / smolvecstore
  a tiny vectorstore implementation built with numpy.
  ☆63Updated last year
• microsoft / ArchScale
  Simple & Scalable Pretraining for Neural Architecture Research
  ☆298Updated this week
• willccbb / agent-engineering
  Agent Engineering course files
  ☆71Updated 3 months ago
• kmohan321 / Research_Papers
  ☆46Updated 7 months ago
• naklecha / arc-agi-attempts
  In this repository I have a code and brief explanations of the attempts that I made at the ARC-AGI (2024) challenges :)
  ☆24Updated 11 months ago
• kanpuriyanawab / minbpe.c
  a Minimal, clean code for the Byte Pair Encoding (BPE) algorithm commonly used in LLM tokenization in pure C.
  ☆22Updated last year
• stanford-futuredata / Megatron-LM
  Ongoing research training transformer models at scale
  ☆38Updated last year