Alternatives and similar repositories for universal_memory_allocation

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

• HazyResearch / mongoose
  A Learnable LSH Framework for Efficient NN Training
  ☆32Updated 4 years ago
• HazyResearch / anchor-stability
  A study of the downstream instability of word embeddings
  ☆12Updated 3 years ago
• ClashLuke / PerfTorch
  High performance pytorch modules
  ☆18Updated 2 years ago
• noveens / distill_cf
  [ NeurIPS '22 ] Data distillation for recommender systems. Shows equivalent performance with 2-3 orders less data.
  ☆23Updated 2 years ago
• lucidrains / rela-transformer
  Implementation of a Transformer using ReLA (Rectified Linear Attention) from https://arxiv.org/abs/2104.07012
  ☆49Updated 3 years ago
• chentingpc / dpq_embedding_compression
  Differentiable Product Quantization for End-to-End Embedding Compression.
  ☆63Updated 2 years ago
• xinyandai / product-quantization
  Implementation of vector quantization algorithms, codes for Norm-Explicit Quantization: Improving Vector Quantization for Maximum Inner P…
  ☆59Updated 4 years ago
• arogozhnikov / adamw_bfloat16
  AdamW optimizer for bfloat16 models in pytorch 🔥.
  ☆36Updated last year
• cuMF / culda_cgs
  Efficient LDA solution on GPUs.
  ☆24Updated 7 years ago
• hp027 / AliGraph
  Large Scale Graphical Model
  ☆24Updated 6 years ago
• facebookresearch / FBTT-Embedding
  This is a Tensor Train based compression library to compress sparse embedding tables used in large-scale machine learning models such as …
  ☆194Updated 3 years ago
• antofuller / configaformers
  A python library for highly configurable transformers - easing model architecture search and experimentation.
  ☆49Updated 3 years ago
• usyd-fsalab / NeuralNetworkRandomness
  ☆14Updated 3 years ago
• wouterkool / ancestral-gumbel-top-k-sampling
  Ancestral Gumbel-Top-k Sampling
  ☆25Updated 5 years ago
• sustcsonglin / gated_linear_attention_layer
  ☆32Updated last year
• mwydmuch / napkinXC
  Extremely simple and fast extreme multi-class and multi-label classifiers.
  ☆70Updated 5 months ago
• mazumder-lab / COMET
  Code for COMET: Cardinality Constrained Mixture of Experts with Trees and Local Search
  ☆11Updated 2 years ago
• rlin27 / DeBut
  Codes of the paper Deformable Butterfly: A Highly Structured and Sparse Linear Transform.
  ☆13Updated 3 years ago
• PanZaifeng / G-SLIDE
  ☆15Updated 3 years ago
• tt-embedding / tt-embeddings
  ☆27Updated 5 years ago
• rmit-ir / joint-cascade-ranking
  Joint Optimization of Cascade Ranking Models (WSDM 19)
  ☆13Updated 3 years ago
• RobertCsordas / moe_layer
  sigma-MoE layer
  ☆20Updated last year
• lucidrains / token-shift-gpt
  Implementation of Token Shift GPT - An autoregressive model that solely relies on shifting the sequence space for mixing
  ☆50Updated 3 years ago
• microsoft / Stochastic-Mixture-of-Experts
  This package implements THOR: Transformer with Stochastic Experts.
  ☆65Updated 3 years ago
• petuum / tuun
  Hyperparameter tuning via uncertainty modeling
  ☆47Updated last year
• nestordemeure / flaxOptimizers
  A collection of optimizers, some arcane others well known, for Flax.
  ☆29Updated 4 years ago
• asappresearch / flop
  Pytorch library for factorized L0-based pruning.
  ☆45Updated last year
• yandex-research / moshpit-sgd
  "Moshpit SGD: Communication-Efficient Decentralized Training on Heterogeneous Unreliable Devices", official implementation
  ☆29Updated 7 months ago
• prajjwal1 / fluence
  A deep learning library based on Pytorch focussed on low resource language research and robustness
  ☆70Updated 3 years ago
• hpcaitech / CachedEmbedding
  A memory efficient DLRM training solution using ColossalAI
  ☆106Updated 2 years ago