343-Guilty4Spark
Ph.D student Electronic Engineering @ PoliTO focusing on HW/SW acceleration of Machine Learning algorithms. Data Science passionate.
Politecnico di TorinoInstallation 04
343-Guilty4Spark's Stars
openai/whisper
Robust Speech Recognition via Large-Scale Weak Supervision
ggerganov/llama.cpp
LLM inference in C/C++
microsoft/onnxruntime
ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
ggerganov/ggml
Tensor library for machine learning
adam-maj/tiny-gpu
A minimal GPU design in Verilog to learn how GPUs work from the ground up
facebookincubator/AITemplate
AITemplate is a Python framework which renders neural network into high performance CUDA/HIP C++ code. Specialized for FP16 TensorCore (NVIDIA GPU) and MatrixCore (AMD GPU) inference.
vinceliuice/grub2-themes
Modern Design theme for Grub2
chipsalliance/rocket-chip
Rocket Chip Generator
huawei-noah/Pretrained-Language-Model
Pretrained language model and its related optimization techniques developed by Huawei Noah's Ark Lab.
microsoft/torchscale
Foundation Architecture for (M)LLMs
ucb-bar/chipyard
An Agile RISC-V SoC Design Framework with in-order cores, out-of-order cores, accelerators, and more
yuqinie98/PatchTST
An offical implementation of PatchTST: "A Time Series is Worth 64 Words: Long-term Forecasting with Transformers." (ICLR 2023) https://arxiv.org/abs/2211.14730
riscv/riscv-v-spec
Working draft of the proposed RISC-V V vector extension
shariqiqbal2810/MAAC
Code for "Actor-Attention-Critic for Multi-Agent Reinforcement Learning" ICML 2019
google/qkeras
QKeras: a quantization deep learning library for Tensorflow Keras
aamini/evidential-deep-learning
Learn fast, scalable, and calibrated measures of uncertainty using neural networks!
Thinklab-SJTU/Crossformer
Official implementation of our ICLR 2023 paper "Crossformer: Transformer Utilizing Cross-Dimension Dependency for Multivariate Time Series Forecasting"
sld-columbia/esp
Embedded Scalable Platforms: Heterogeneous SoC architecture and IP integration made easy
microsoft/infinibatch
Efficient, check-pointed data loading for deep learning with massive data sets.
riscv/riscv-p-spec
RISC-V Packed SIMD Extension
pnnl/OpenCGRA
OpenCGRA is an open-source framework for modeling, testing, and evaluating CGRAs.
LxzGordon/Deep-Reinforcement-Learning-with-pytorch
Basic reinforcement learning algorithms. Including:DQN,Double DQN, Dueling DQN, SARSA, REINFORCE, baseline-REINFORCE, Actor-Critic,DDPG,DDPG for discrete action space, A2C, A3C, TD3, SAC, TRPO
tommasocarraro/LTNtorch
PyTorch implementation of Logic Tensor Networks, a Neural-Symbolic framework.
tenstorrent/riscv_arch_tests
Self checking RISC-V directed tests
tancheng/mlir-cgra
An MLIR dialect to enable the efficient acceleration of ML model on CGRAs.
klessydra/T13x
An Extended Version of the T0x multithreaded cores, with a custom general purpose parametrized SIMD/MIMD vector coprocessor and support for 3-5 way superscalar execution. The core is pin-to-pin compatible with the RISCY cores from PULP
riscv/riscv-bfloat16
Linger0/SRAM-Compute-In-Memory
A collection of research papers on SRAM-based compute-in-memory architectures.
open-neuromorphic/snnmetrics
Metrics for spiking neural networks based on torchmetrics
LucaUrbinati44/qkeras-mod
A modified QKeras with support to affine uniform quantization for activation layers and more