Alternatives and similar repositories for universal_memory_allocation

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

• usyd-fsalab / NeuralNetworkRandomness
  ☆14Updated 3 years ago
• HazyResearch / mongoose
  A Learnable LSH Framework for Efficient NN Training
  ☆34Updated 4 years ago
• ClashLuke / PerfTorch
  High performance pytorch modules
  ☆18Updated 3 years ago
• xinyandai / product-quantization
  Implementation of vector quantization algorithms, codes for Norm-Explicit Quantization: Improving Vector Quantization for Maximum Inner P…
  ☆60Updated 5 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
• hp027 / AliGraph
  Large Scale Graphical Model
  ☆24Updated 7 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
• petuum / tuun
  Hyperparameter tuning via uncertainty modeling
  ☆49Updated last year
• chentingpc / dpq_embedding_compression
  Differentiable Product Quantization for End-to-End Embedding Compression.
  ☆64Updated 3 years ago
• antofuller / configaformers
  A python library for highly configurable transformers - easing model architecture search and experimentation.
  ☆49Updated 4 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
• HazyResearch / anchor-stability
  A study of the downstream instability of word embeddings
  ☆12Updated 3 years ago
• cgraywang / transformer-on-diet
  Code repo for "Transformer on a Diet" paper
  ☆31Updated 5 years ago
• cuMF / culda_cgs
  Efficient LDA solution on GPUs.
  ☆24Updated 7 years ago
• sustcsonglin / gated_linear_attention_layer
  ☆32Updated 2 years ago
• mwydmuch / napkinXC
  Extremely simple and fast extreme multi-class and multi-label classifiers.
  ☆70Updated 2 months ago
• arogozhnikov / adamw_bfloat16
  AdamW optimizer for bfloat16 models in pytorch 🔥.
  ☆39Updated last year
• TalSchuster / CATs
  Confident Adaptive Transformers
  ☆14Updated 4 years ago
• PanZaifeng / G-SLIDE
  ☆15Updated 4 years ago
• prajjwal1 / fluence
  A deep learning library based on Pytorch focussed on low resource language research and robustness
  ☆70Updated 4 years ago
• wouterkool / ancestral-gumbel-top-k-sampling
  Ancestral Gumbel-Top-k Sampling
  ☆25Updated 5 years ago
• VITA-Group / UMEC
  [ICLR 2021] "UMEC: Unified Model and Embedding Compression for Efficient Recommendation Systems" by Jiayi Shen, Haotao Wang*, Shupeng Gui…
  ☆39Updated 4 years ago
• ahennequ / pytorch-custom-mma
  ☆29Updated 3 years ago
• juntang-zhuang / ACProp-Optimizer
  Implementation for ACProp ( Momentum centering and asynchronous update for adaptive gradient methdos, NeurIPS 2021)
  ☆16Updated 4 years ago
• NVlabs / AdaBatch
  AdaBatch: Adaptive Batch Sizes for Training Deep Neural Networks
  ☆42Updated 8 years ago
• cemoody / flexi_hash_embedding
  PyTorch Flexible Hash Embeddings
  ☆28Updated 6 years ago
• hpcaitech / CachedEmbedding
  A memory efficient DLRM training solution using ColossalAI
  ☆105Updated 3 years ago
• lucidrains / esbn-transformer
  An attempt to merge ESBN with Transformers, to endow Transformers with the ability to emergently bind symbols
  ☆16Updated 4 years ago
• rlin27 / DeBut
  Codes of the paper Deformable Butterfly: A Highly Structured and Sparse Linear Transform.
  ☆16Updated 4 years ago
• stanis-morozov / prodige
  A supplementary code for Beyond Vector Spaces: Compact Data Representation as Differentiable Weighted Graphs.
  ☆47Updated 6 years ago