Alternatives and similar repositories for bfloat16

Users that are interested in bfloat16 are comparing it to the libraries listed below

• jundaf2 / INT8-Flash-Attention-FMHA-Quantization
  ☆159Updated 2 years ago
• IntelLabs / FP8-Emulation-Toolkit
  PyTorch extension for emulating FP8 data formats on standard FP32 Xeon/GPU hardware.
  ☆111Updated 9 months ago
• cchan / fp8_mul
  A tiny FP8 multiplication unit written in Verilog. TinyTapeout 2 submission.
  ☆14Updated 2 years ago
• Qualcomm-AI-research / FP8-quantization
  ☆159Updated 2 years ago
• fastmachinelearning / qonnx
  QONNX: Arbitrary-Precision Quantized Neural Networks in ONNX
  ☆161Updated this week
• hpcaitech / TensorNVMe
  A Python library transfers PyTorch tensors between CPU and NVMe
  ☆121Updated 10 months ago
• ankan-ban / llama_cu_awq
  llama INT4 cuda inference with AWQ
  ☆55Updated 8 months ago
• wangsiping97 / FastGEMV
  High-speed GEMV kernels, at most 2.7x speedup compared to pytorch baseline.
  ☆115Updated last year
• nod-ai / transformer-benchmarks
  benchmarking some transformer deployments
  ☆26Updated 2 years ago
• meta-pytorch / triton-cpu
  An experimental CPU backend for Triton (https//github.com/openai/triton)
  ☆45Updated last month
• mit-han-lab / tinychat-tutorial
  ☆72Updated 10 months ago
• DeMoriarty / custom_matmul_kernels
  Customized matrix multiplication kernels
  ☆56Updated 3 years ago
• masahi / torchscript-to-tvm
  ☆69Updated 2 years ago
• north-numerical-computing / tensor-cores-numerical-behavior
  Test suite for probing the numerical behavior of NVIDIA tensor cores
  ☆41Updated last year
• usyd-fsalab / fp6_llm
  An efficient GPU support for LLM inference with x-bit quantization (e.g. FP6,FP5).
  ☆265Updated 2 months ago
• brightlaboratory / polydl
  ☆12Updated 4 years ago
• LeiWang1999 / AutoGPTQ.tvm
  GPTQ inference TVM kernel
  ☆40Updated last year
• ucb-bar / onnxruntime-riscv
  Fork of upstream onnxruntime focused on supporting risc-v accelerators
  ☆87Updated 2 years ago
• open-lm-engine / flash-model-architectures
  A bunch of kernels that might make stuff slower 😉
  ☆59Updated this week
• microsoft / TileFusion
  TileFusion is an experimental C++ macro kernel template library that elevates the abstraction level in CUDA C for tile processing.
  ☆97Updated 2 months ago
• IBM / triton-dejavu
  Framework to reduce autotune overhead to zero for well known deployments.
  ☆82Updated last week
• deepspeedai / DeepSpeed-Kernels
  ☆74Updated 6 months ago
• tridao / flash-attention-wheels
  ☆56Updated last year
• pulp-platform / quantlab
  ☆38Updated last year
• marsupialtail / sparsednn
  Fast sparse deep learning on CPUs
  ☆56Updated 2 years ago
• mlc-ai / relax
  ☆166Updated this week
• iree-org / iree-nvgpu
  ☆50Updated last year
• uwsampl / SparseTIR
  SparseTIR: Sparse Tensor Compiler for Deep Learning
  ☆138Updated 2 years ago
• facebookresearch / MODel_opt
  Memory Optimizations for Deep Learning (ICML 2023)
  ☆107Updated last year
• meta-pytorch / multipy
  torch::deploy (multipy for non-torch uses) is a system that lets you get around the GIL problem by running multiple Python interpreters i…
  ☆181Updated 3 weeks ago