Alternatives and similar repositories for Assembly-Neural-Network

Users that are interested in Assembly-Neural-Network are comparing it to the libraries listed below

• fkodom / transformer-from-scratch
  Code implementation from my blog post: https://fkodom.substack.com/p/transformers-from-scratch-in-pytorch
  ☆94Updated last year
• xrsrke / pipegoose
  Large scale 4D parallelism pre-training for 🤗 transformers in Mixture of Experts *(still work in progress)*
  ☆85Updated last year
• sayakpaul / keras-xla-benchmarks
  Presents comprehensive benchmarks of XLA-compatible pre-trained models in Keras.
  ☆37Updated last year
• nreHieW / loss
  Visualising Losses in Deep Neural Networks
  ☆16Updated last year
• Entropy-xcy / bitnet158
  ☆69Updated last year
• kuleshov-group / MODULoRA-Experiment
  Evaluation Code repository for the paper "ModuLoRA: Finetuning 3-Bit LLMs on Consumer GPUs by Integrating with Modular Quantizers". (2023…
  ☆13Updated last year
• johnma2006 / candle
  Deep learning library implemented from scratch in numpy. Mixtral, Mamba, LLaMA, GPT, ResNet, and other experiments.
  ☆50Updated last year
• CMU-IDeeL / CMU-IDeeL.github.io
  11-785 Introduction to Deep Learning (IDeeL) website with logistics and select course materials
  ☆49Updated this week
• AkiRusProd / numpy-transformer
  A numpy implementation of the Transformer model in "Attention is All You Need"
  ☆56Updated 11 months ago
• stas00 / ml-ways
  ML/DL Math and Method notes
  ☆61Updated last year
• insoochung / transformer_bcq
  BCQ tutorial for transformers
  ☆17Updated 2 years ago
• knotgrass / attention
  several types of attention modules written in PyTorch for learning purposes
  ☆54Updated 9 months ago
• hunkim / llm_gpu_cal
  🔮 LLM GPU Calculator
  ☆21Updated last year
• kshitij12345 / torchnnprofiler
  Context Manager to profile the forward and backward times of PyTorch's nn.Module
  ☆83Updated last year
• dmis-lab / Outlier-Safe-Pre-Training
  [ACL 2025] Outlier-Safe Pre-Training for Robust 4-Bit Quantization of Large Language Models
  ☆27Updated 3 weeks ago
• CerebrasResearch / Sparse-IFT
  Official repository of Sparse ISO-FLOP Transformations for Maximizing Training Efficiency
  ☆25Updated 11 months ago
• Ads97 / ForwardForward
  Explorations with Geoffrey Hinton's Forward Forward algoithm
  ☆33Updated last year
• tspeterkim / mixed-precision-from-scratch
  Mixed precision training from scratch with Tensors and CUDA
  ☆24Updated last year
• leloykun / llama2.cpp
  Inference Llama 2 in one file of pure C++
  ☆83Updated last year
• ruslangrimov / mnist-minimal-model
  Trying to find out what is the minimal model that can achieve 99% accuracy on MNIST dataset
  ☆25Updated 6 years ago
• apple / ml-hypercloning
  ☆48Updated 8 months ago
• tinygrad / gpuctypes
  ctypes wrappers for HIP, CUDA, and OpenCL
  ☆130Updated last year
• gau-nernst / quantized-training
  Explore training for quantized models
  ☆20Updated this week
• Oxen-AI / mamba-dive
  This is the code that went into our practical dive using mamba as information extraction
  ☆53Updated last year
• lessw2020 / transformer_central
  Various transformers for FSDP research
  ☆37Updated 2 years ago
• facebookresearch / projUNN
  Fast training of unitary deep network layers from low-rank updates
  ☆28Updated 2 years ago
• vedantroy / gpu_kernels
  ☆26Updated last year
• EleutherAI / oslo
  OSLO: Open Source for Large-scale Optimization
  ☆175Updated last year
• linjames0 / Transformer-CUDA
  An implementation of the transformer architecture onto an Nvidia CUDA kernel
  ☆188Updated last year
• albanie / algorithms-and-data-structures
  Video descriptions and minimalist Python implementations of algorithms and data structures.
  ☆68Updated last year