MatchLab-Imperial / deep-learning-course

Related projects ⓘ

Alternatives and complementary repositories for deep-learning-course

• MatchLab-Imperial / machine-learning-course
  ☆11Updated last year
• LangProc / langproc-cw
  Compiler coursework repository for Instruction Architectures and Compilers module at Imperial College London
  ☆18Updated 5 months ago
• clemenkok / IAC0
  The Missing Gaps
  ☆8Updated last year
• snowztail / imperial
  Lecture notes for communications and signal processing. © Imperial College London
  ☆32Updated last month
• m8pple / arch2-2019-cw
  ☆10Updated 5 years ago
• henkwymeersch / AutoencoderFiber
  This shows how to use Autoencoders for learning constellations and receivers in fiber optical communications
  ☆16Updated 5 years ago
• frcs / 4C16-2324
  ☆10Updated 11 months ago
• taldatech / ee046211-deep-learning
  Jupyter Notebook tutorials for ECE 046211 Deep Learning course at the Technion
  ☆46Updated 3 months ago
• SOMAS2022 / SOMAS2022
  Self Organising Multi Agent Systems 2022
  ☆10Updated last year
• kuanhsieh / sparc_public
  Implementation of Sparse Regression Codes (SPARCs)/Sparse Superposition Codes for communications over the AWGN channel.
  ☆11Updated 2 years ago
• Leo-Chu / NOLD
  Code for paper "NOLD: A Neural-Network Optimized Low-Resolution Decoder for LDPC Codes， Submitted for an IEEE journal;"
  ☆14Updated 3 years ago
• sdnr / RNN-Conv-Decoder
  Accompanying code of paper "On Recurrent Neural Networks for Sequence-based Processing in Communications" by Daniel Tandler, Sebastian Dö…
  ☆10Updated 2 years ago
• kit-cel / ecoc_20_learning
  PyTorch examples accompanying the ECOC 2020 invited presentation about end-to-end learning in optical communications
  ☆13Updated 3 years ago
• LiYan1988 / simulations-fiber
  ☆17Updated 5 years ago
• nirshlezinger1 / ViterbiNet
  A Deep Learning Based Viterbi Algorithm for Symbol Detection
  ☆23Updated 5 years ago
• GAMPTeam / vampyre
  Approximate Message Passing in Python
  ☆66Updated 4 months ago
• kit-cel / lecture-examples
  Sample scripts used in the lectures of the CEL (Communications Engineering Lab) at KIT
  ☆82Updated 2 weeks ago
• micdoh / XLRON
  X-elerated Learning and Resource Allocation for Optical Networks
  ☆15Updated last week
• kclip / snn
  Code for training binary and WTA SNNs
  ☆14Updated 2 years ago
• hyejikim1 / Deepcode
  Deepcode: Feedback Codes via Deep Learning, by Hyeji Kim, Yihan Jiang, Sreeram Kannan, Sewoong Oh, and Pramod Viswanath
  ☆20Updated 6 years ago
• remifan / commplax
  A Python DSP framework for optical communications, accelerated in CPU/GPU, differentiate, vectorize, and more, powered by JAX.
  ☆59Updated 2 years ago
• wenh81 / optiCommLabProc
  Optical Fiber Communication lab/experiments processing scripts
  ☆30Updated 6 years ago
• SAIC-MONTREAL / CeBed
  Data-Driven Channel Estimation Test Bed
  ☆18Updated 11 months ago
• IBM / analog-nas
  Analog AI Neural Architecture Search (analog-nas) is a modular and flexible framework to facilitate implementation of Analog-aware Neural…
  ☆45Updated 6 months ago
• filangelos / ASPMI
  EE4-13 Adaptive Signal Processing and Machine Intelligence (2017-2018) Coursework
  ☆8Updated 6 years ago
• ImperialCollegeLondon / RCDS-comm-line
  https://github.com/kmichali/GS_comm_line
  ☆37Updated 3 weeks ago