Alternatives and similar repositories for Research_Papers

Users that are interested in Research_Papers 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
  ☆64Updated 2 months ago
• tokenbender / avataRL
  rl from zero pretrain, can it be done? we'll see.
  ☆66Updated 2 weeks ago
• VatsaDev / NanoPoor
  NanoGPT-speedrunning for the poor T4 enjoyers
  ☆68Updated 3 months ago
• joey00072 / Multi-Head-Latent-Attention-MLA-
  working implimention of deepseek MLA
  ☆42Updated 6 months ago
• kabir2505 / tiny-mixtral
  ☆43Updated 3 months ago
• JoeLi12345 / nGPT
  an open source reproduction of NVIDIA's nGPT (Normalized Transformer with Representation Learning on the Hypersphere)
  ☆103Updated 4 months ago
• MekkCyber / TritonAcademy
  A repository to unravel the language of GPUs, making their kernel conversations easy to understand
  ☆188Updated 2 months ago
• brendanhogan / DeepSeekRL-Extended
  Exploring Applications of GRPO
  ☆245Updated 3 weeks ago
• hkproj / multi-latent-attention
  ☆43Updated 2 months ago
• joey00072 / ohara
  Collection of autoregressive model implementation
  ☆86Updated 3 months ago
• cloneofsimo / ptx-tutorial-by-aislop
  PTX-Tutorial Written Purely By AIs (Deep Research of Openai and Claude 3.7)
  ☆66Updated 4 months ago
• usamec / lowmem_finetuning
  Low memory full parameter finetuning of LLMs
  ☆52Updated 2 weeks ago
• ariG23498 / gemma3-object-detection
  Fine tune Gemma 3 on an object detection task
  ☆74Updated 3 weeks ago
• s-smits / grpo-optuna
  Optimizing Causal LMs through GRPO with weighted reward functions and automated hyperparameter tuning using Optuna
  ☆55Updated 6 months ago
• JINO-ROHIT / advanced_ml
  ☆59Updated last week
• N8python / mlx-pretrain
  A simple MLX implementation for pretraining LLMs on Apple Silicon.
  ☆83Updated 3 months ago
• YuchenJin / llm.c
  LLM training in simple, raw C/CUDA
  ☆15Updated 7 months ago
• microsoft / ArchScale
  Simple & Scalable Pretraining for Neural Architecture Research
  ☆277Updated last week
• facebookresearch / llm-speedrunner
  The Automated LLM Speedrunning Benchmark measures how well LLM agents can reproduce previous innovations and discover new ones in languag…
  ☆93Updated this week
• Pleias / Quest-Best-Tokens
  An introduction to LLM Sampling
  ☆79Updated 7 months ago
• QuixiAI / grokadamw
  ☆134Updated 11 months ago
• okarthikb / state-space-models
  ☆27Updated last year
• ariG23498 / quantized-diffusion-inference
  Notebook and Scripts that showcase running quantized diffusion models on consumer GPUs
  ☆38Updated 9 months ago
• xjdr-alt / llmri
  look how they massacred my boy
  ☆63Updated 9 months ago
• 0xD4rky / Vision-Transformers
  This repo has all the basic things you'll need in-order to understand complete vision transformer architecture and its various implementa…
  ☆228Updated 7 months ago
• kubernetes-bad / reward-composer
  Lego for GRPO
  ☆28Updated 2 months ago
• Lossfunk / KernelBench-v2
  KernelBench v2: Can LLMs Write GPU Kernels? - Benchmark with Torch -> Triton (and more!) problems
  ☆21Updated last month
• apoorvkh / academic-pretraining
  $100K or 100 Days: Trade-offs when Pre-Training with Academic Resources
  ☆143Updated 2 months ago
• 1y33 / 100Days
  GPU Kernels
  ☆191Updated 3 months ago
• google-deepmind / latent-multi-hop-reasoning
  [ACL 2024] Do Large Language Models Latently Perform Multi-Hop Reasoning?
  ☆72Updated 4 months ago